Literature DB >> 34305280

Shaken not stirred: Big data meets randomized controlled trial.

P W Vinny1, M V P Srivastava2, A Basheer3, R D S Pitceathly4, V Y Vishnu5.   

Abstract

Entities:  

Keywords:  Artificial intelligence; Big data; Causality; Counterfactual thinking; Randomized controlled trial

Year:  2021        PMID： 34305280      PMCID： PMC8282524          DOI： 10.1016/j.mjafi.2021.05.023

Source DB:  PubMed          Journal:  Med J Armed Forces India        ISSN： 0377-1237


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  13 in total

1.  Mastering the game of Go with deep neural networks and tree search.

Authors:  David Silver; Aja Huang; Chris J Maddison; Arthur Guez; Laurent Sifre; George van den Driessche; Julian Schrittwieser; Ioannis Antonoglou; Veda Panneershelvam; Marc Lanctot; Sander Dieleman; Dominik Grewe; John Nham; Nal Kalchbrenner; Ilya Sutskever; Timothy Lillicrap; Madeleine Leach; Koray Kavukcuoglu; Thore Graepel; Demis Hassabis
Journal:  Nature       Date:  2016-01-28       Impact factor: 49.962

2.  Tissue plasminogen activator for acute ischemic stroke.

Authors: 
Journal:  N Engl J Med       Date:  1995-12-14       Impact factor: 91.245

Review 3.  Interpretation of the evidence for the efficacy and safety of statin therapy.

Authors:  Rory Collins; Christina Reith; Jonathan Emberson; Jane Armitage; Colin Baigent; Lisa Blackwell; Roger Blumenthal; John Danesh; George Davey Smith; David DeMets; Stephen Evans; Malcolm Law; Stephen MacMahon; Seth Martin; Bruce Neal; Neil Poulter; David Preiss; Paul Ridker; Ian Roberts; Anthony Rodgers; Peter Sandercock; Kenneth Schulz; Peter Sever; John Simes; Liam Smeeth; Nicholas Wald; Salim Yusuf; Richard Peto
Journal:  Lancet       Date:  2016-09-08       Impact factor: 79.321

Review 4.  Is Atrial Fibrillation a Stroke Risk Factor or Risk Marker? An Appraisal Using the Bradford Hill Framework for Causality.

Authors:  Varun Malik; Anand N Ganesan; Joseph B Selvanayagam; Derek P Chew; Andrew D McGavigan
Journal:  Heart Lung Circ       Date:  2019-08-16       Impact factor: 2.975

Review 5.  A critique of pure learning and what artificial neural networks can learn from animal brains.

Authors:  Anthony M Zador
Journal:  Nat Commun       Date:  2019-08-21       Impact factor: 14.919

6.  Estimates of Overall Survival in Patients With Cancer Receiving Different Treatment Regimens: Emulating Hypothetical Target Trials in the Surveillance, Epidemiology, and End Results (SEER)-Medicare Linked Database.

Authors:  Lucia C Petito; Xabier García-Albéniz; Roger W Logan; Nadia Howlader; Angela B Mariotto; Issa J Dahabreh; Miguel A Hernán
Journal:  JAMA Netw Open       Date:  2020-03-02

7.  Recruitment effort and costs from a multi-center randomized controlled trial for treating depression in type 2 diabetes.

Authors:  Barbara A Myers; Yegan Pillay; W Guyton Hornsby; Jay Shubrook; Chandan Saha; Kieren J Mather; Karen Fitzpatrick; Mary de Groot
Journal:  Trials       Date:  2019-11-06       Impact factor: 2.279

8.  The Magic of Randomization versus the Myth of Real-World Evidence.

Authors:  Rory Collins; Louise Bowman; Martin Landray; Richard Peto
Journal:  N Engl J Med       Date:  2020-02-13       Impact factor: 91.245

9.  Time to reality check the promises of machine learning-powered precision medicine.

Authors:  Jack Wilkinson; Kellyn F Arnold; Eleanor J Murray; Maarten van Smeden; Kareem Carr; Rachel Sippy; Marc de Kamps; Andrew Beam; Stefan Konigorski; Christoph Lippert; Mark S Gilthorpe; Peter W G Tennant
Journal:  Lancet Digit Health       Date:  2020-09-16

Review 10.  Randomised trials in context: practical problems and social aspects of evidence-based medicine and policy.

Authors:  Warren Pearce; Sujatha Raman; Andrew Turner
Journal:  Trials       Date:  2015-09-01       Impact factor: 2.279
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